Issue 9, 2019

Simplified Drop-seq workflow with minimized bead loss using a bead capture and processing microfluidic chip

Abstract

Single-cell RNA-sequencing (scRNA-seq) has revolutionized biomedical research by enabling the in-depth analysis of cell-to-cell heterogeneity of tissues with unprecedented resolution. One of the catalyzing technologies is single cell droplet microfluidics, which has massively increased the overall cell throughput, routinely allowing the analysis of thousands of cells per experiment at a relatively low cost. Among several existing droplet-based approaches, the Drop-seq platform has emerged as one of the most widely used systems. Yet, this has surprisingly not incentivized major refinements of the method, thus restricting any lab implementation to the original Drop-seq setup, which is known to suffer from up to 80% bead loss during the process. In this study, we present a systematic re-engineering and optimization of Drop-seq: first, we re-designed the original dropleting device to be compatible with both air-pressure systems and syringe pumps, thus increasing the overall flexibility of the platform. Second, we devised an accompanying chip for post-encapsulation bead processing, which simplifies and massively increases Drop-seq's cell processing efficiency. Taken together, the presented optimization efforts result in a more flexible and efficient Drop-seq version.

Graphical abstract: Simplified Drop-seq workflow with minimized bead loss using a bead capture and processing microfluidic chip

Supplementary files

Article information

Article type
Paper
Submitted
04 Січ 2019
Accepted
09 Лют 2019
First published
28 Бер 2019
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2019,19, 1610-1620

Simplified Drop-seq workflow with minimized bead loss using a bead capture and processing microfluidic chip

M. Biočanin, J. Bues, R. Dainese, E. Amstad and B. Deplancke, Lab Chip, 2019, 19, 1610 DOI: 10.1039/C9LC00014C

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements